Expression Recognition Algorithm of Deeply Separable Residual Network under Joint Loss

In order to enhance the feature extraction ability of neural network and further improve the accuracy of facial expression recognition, this paper proposes a deep separable residual network model under joint loss DSResNet-Jloss.This network is a lightweight network model based on deep separable c...

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Hlavní autoři:	LI Jingyu, CHENG Weiyue, LIN Kezheng, MIAO Zhuang, LI Ao
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Harbin University of Science and Technology Publications 2023-02-01
Edice:	Journal of Harbin University of Science and Technology
Témata:	depth separable convolution residual network facial expression recognition joint loss
On-line přístup:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2177
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